Genetic Algorithm-Based Parameters Optimization for the PID Controller Applied in Heave Compensation System

2014 ◽  
Vol 556-562 ◽  
pp. 2462-2465
Author(s):  
You Gang Sun ◽  
Hai Yan Qiang ◽  
Xiao Ming Sheng
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Negative Impact ◽  
Dynamic Performance ◽  
Compensation System ◽  
Integrated System ◽  
Parameters Optimization ◽  
Control Effect ◽  
System A ◽  
The Stability

To reduce the negative impact of the unexpected motion in the heave direction when hoisting on the sea, a heave compensation system is indispensable for a floating crane. In this paper, a genetic algorithm-based PID controller is presented to improve the dynamic performance of the heave compensation system. A simulation model of electro-mechanical and hydraulic integrated system of the heave compensation system is built. The simulation results show that the genetic algorithm-based PID control system improves the dynamic characteristics, strengthens the stability and rapidity of the system and even ensures the control effect of the heave compensation system.

scholarly journals Optimization and comparative analysis of PID and FOPID controller for BLDC motor

2019 ◽  
Vol 8 (3) ◽  
pp. 174
Author(s):  
P. Vimala ◽  
C. R. Balamurugan ◽  
A. Subramanian ◽  
T. Vishwanath
Keyword(s):  
Genetic Algorithm ◽  
Comparative Analysis ◽  
Input Signal ◽  
Pid Controller ◽  
Input Voltage ◽  
Bldc Motor ◽  
Phase Inverter ◽  
Three Phase ◽  
The Stability ◽  
Three Phase Inverter

The FOPID and PID controller are designed to control the speed of <br /> the BLDC motor. The parameters , , , λ and µ of these controller are optimized based on genetic algorithm. The optimized coefficients keep in track with zero error signals. The output of the controller is given to the variable dc source which varies the input voltage to the three phase inverter depending on the input signal. The three phase inverter gives the voltage to the BLDC motor which enhances the stability of the system. <br /> The effectiveness of the controller is demonstrated by simulation.

Hydraulic Sytem for Wave Compensation of Deep-Water Exploration Ship

2012 ◽  
Vol 192 ◽  
pp. 201-206
Author(s):  
Zhi Xin Chen ◽  
Shuai Liu
Keyword(s):  
Deep Water ◽  
Structural Parameters ◽  
Dynamic Performance ◽  
Wire Rope ◽  
Transmission System ◽  
Compensation System ◽  
Work Condition ◽  
Extraction Equipment ◽  
The Stability ◽  
Heave Motion

In order to reduce the influence of the bench extraction equipment from the working deep-water exploration ship when it has swing or heave movement by wind and waves, according to the work condition and the structural parameters of 3000m deep-water exploration ship, Pump-controlled type and valve-controlled type hydraulic transmission system for waves compensation of deep-water exploration ship bench extraction equipment was researched through analysing and calculating. Wire rope which drags the bench is maintained appropriate tensioning status using this wave compensation system, when bench downs to the bottom of the sea. This system can bind and release wire rope to compensate for heave motion automatically, in order to keep the stability and security of the deep-water exploration ship before bench loading the bottom. Dynamic performance of wave compensation system is improved through controlling supplementation pressure and the accumulator parameters precisely.

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

Double-Loop PID Parameter Tuning for DC Motor Based on Modified Particle Swarm Optimization

2011 ◽  
Vol 130-134 ◽  
pp. 3139-3142
Author(s):  
Tao Cheng ◽  
Wei Xing Lin
Keyword(s):  
Particle Swarm Optimization ◽  
Pid Controller ◽  
High Performance ◽  
Dynamic Performance ◽  
Particle Swarm ◽  
Parameter Tuning ◽  
Parameters Optimization ◽  
Double Loop ◽  
Swarm Optimization ◽  
Modified Particle Swarm Optimization

This paper proposes a modified particle swarm optimization to solve identification of tuning PID controller parameters. This paper elaborates the process that MPSO algorithm optimizes PID parameters in double-loop speed control system modeled by simulink. Through analyzing the results of the MPSO optimization, and comparing with standard PSO(SPSO) and traditional method, MPSO algorithm has better dynamic performance, provides a high performance methods for PID parameters optimization.

Application of Genetic Algorithm for Nozzle Parameters Optimization of Waterjet Propulsion System

2012 ◽  
Vol 157-158 ◽  
pp. 604-607
Author(s):  
Xuan Ling ◽  
Xu Dong Wang
Keyword(s):  
Genetic Algorithm ◽  
Cfd Simulation ◽  
Simulation Analysis ◽  
Optimization Technique ◽  
Propulsion System ◽  
Parameters Optimization ◽  
Integrated Method ◽  
System A ◽  
Design Cycle ◽  
Computer Based

Waterjet propulsion system have been increasingly used in the world due to its advantage of good maneuverability, operability, less vibration etc. The full understanding of waterjet reaction thrust is the preliminary step for the design of waterjet system. A recent research in this area is optimizing the nozzle structure of waterjet propulsion system to increase the waterjet reaction thrust as much as possible. In order to obtain the optimal parameters of nozzle, a new integrated method combining genetic algorithm with CFD simulation analysis is put forward in this paper. The integrated method will not only shorten the system design cycle, it will also develop optimization technique to realize the potential of computer based design automation. Finally, the optimal results are presented and discuss.

Optimization Design of Gravity Compensation System for a 5-DOF Articulated Heavy-Duty Robot

2014 ◽  
Vol 556-562 ◽  
pp. 2359-2364
Author(s):  
Lei Liu ◽  
Bo Huang ◽  
Yan He Zhu ◽  
Jie Zhao
Keyword(s):  
Optimization Design ◽  
Design Method ◽  
Dynamic Performance ◽  
Compensation System ◽  
Parameters Optimization ◽  
Gravity Compensation ◽  
Heavy Duty ◽  
Balance System ◽  
Optimization Parameters ◽  
Position Parameter

Spring loaded balance system is a common method for designing the gravity compensation system of heavy-duty robot. In the design process of this system, the relevant parameters of the spring itself and spring loaded balance system’s installation position parameter have a great impact on the final compensation effect. This paper introduces a parameters optimization design method of heavy-duty robot’s spring loaded balance system. Based on the dynamics equation of heavy-duty robot, we built a mathematical model of the balanced joint with spring loaded balance system. The torque of balanced joint in this model and the relevant parameters of spring loaded balance system are the optimization goal and the optimization parameters relatively. Then we obtained the optimization result of spring loaded balance system’s parameters using optimization toolbox of MATLB. By the above method, we designed and optimized the spring loaded balance system of a 5-DOF articulated heavy-duty robot. Through the comparison of the result calculated by MATLB, the optimized spring loaded balance system greatly reduces the torque of balanced joint and the consumption of joint drive. Meanwhile, by this method, the optimized spring loaded balance system maximally improves the dynamic performance and service life of the heavy-duty robot.

Control Law and Simulation Analysis of Vertical Take-Off and Landing Stage of Tilt Rotor Aircraft

2014 ◽  
Vol 1082 ◽  
pp. 521-524
Author(s):  
Yuan Qi Zhang ◽  
Wei Ping Zhao ◽  
Song Xiang
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Stability Control ◽  
Control Law ◽  
Control Effect ◽  
Tilt Rotor ◽  
Optimization Simulation ◽  
Simulation Results ◽  
Aircraft System

This paper utilized the genetic algorithm to optimize the PID controller of vertical take-off and landing stage of tilt rotor aircraft. According to the features of stability control of vertical take-off and landing stage of tilt rotor aircraft, system ascend time, steady error, and weighted overshoot are chosen as objective function of optimization. Simulation results show that PID controller designed by the genetic algorithm possess the excellent flexibility, adaptability and can produce the better control effect.

Research on Single Neuron Adaptive PID Controller

2014 ◽  
Vol 651-653 ◽  
pp. 826-830 ◽  
Author(s):  
Xiu Jia Chen ◽  
Hong Di Qiu
Keyword(s):  
Pid Controller ◽  
Single Neuron ◽  
Control Effect ◽  
External Disturbances ◽  
Simulation Research ◽  
Process System ◽  
Self Tuning ◽  
The Stability ◽  
Actual Control ◽  
Controlled Object

The paper focuses on single neuron adaptive PID controller based on unsupervised Hebb algorithm, and simulation research on the controller is carried out for a second-order pure lag process system. Simulation results show that through learning and adjusting weights of single neuron adaptive PID controller, its online self-tuning ability can make timely adjustment of PID controller parameters according to controlled object changes and external disturbances in order to ensure that the stability and robustness of the system and, ultimately, more satisfactory actual control effect is obtained. At last, the control characteristics and parameter design rules are concluded.

Parameter Optimization of PID Controller for Boiler Combustion System by Applying Adaptive Immune Genetic Algorithm

2012 ◽  
Vol 546-547 ◽  
pp. 961-966
Author(s):  
Fei Xiang ◽  
Shan Li
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Fitness Function ◽  
Dynamic Performance ◽  
Adaptive Mutation ◽  
System Response ◽  
Initial Population ◽  
Immune Genetic Algorithm ◽  
Adaptive Immune ◽  
Design Scheme

For power plant boiler combustion control system has large inertia, nonlinear and other complex characteristics, a control algorithm of PID optimized by means of adaptive immune genetic algorithm is presented. A variety of improved schemes of GA were designed, include: initial population generating scheme, fitness function design scheme, immunization strategy, adaptive crossover probability and adaptive mutation probability design scheme. By taking the rise time, error integral and overshoot of system response as the performance index, and using genetic algorithm for real-coded of PID parameters, then a group of optimal values were obtained. Simulation results show that the method has a good dynamic performance, superior to the conventional PID controller.

AC Position Servo System Controller of Aircraft Simulator Based on Genetic Algorithm Optimization

2012 ◽  
Vol 569 ◽  
pp. 679-682
Author(s):  
Bao Long Liu ◽  
Xiu Lin Zheng ◽  
Xiao Qi Li
Keyword(s):  
Genetic Algorithm ◽  
Pid Controller ◽  
Servo System ◽  
Fuzzy Pid ◽  
Algorithm Optimization ◽  
Control Effect ◽  
Genetic Algorithm Optimization ◽  
Ac Servo System ◽  
Fuzzy Pid Controller ◽  
Ac Servo

This paper analyzes nonlinear and uncertainties factors caused by the friction and clearance of ac servo system. a Fuzzy-PID controller based on Genetic Algorithm was designed. Adjust the three parameters of PID controller based on the error and error change rate ; Adjust the various parameters of the fuzzy-PID controller using genetic algorithm optimization; This method has better control effect on the AC of Meter systems than traditional PID controller. And both dynamic and steady performances were improved evidently

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